Spatial variation in satellite-based estimates of primary productivity across the Northeast Pacific subarctic-subtropical front
Senior Thesis written for Oceanography 444 This study compared satellite and ship-based measurements of net primary productivity in the Northeast Pacific Ocean. In general, chlorophyll observations showed the greatest variance between the two sets of observations. Measuring NPP is of critical import...
Main Author: | |
---|---|
Format: | Other/Unknown Material |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | http://hdl.handle.net/1773/4609 |
id |
ftunivwashington:oai:digital.lib.washington.edu:1773/4609 |
---|---|
record_format |
openpolar |
spelling |
ftunivwashington:oai:digital.lib.washington.edu:1773/4609 2024-06-02T08:15:01+00:00 Spatial variation in satellite-based estimates of primary productivity across the Northeast Pacific subarctic-subtropical front Voss, Britta 2009-02-23T19:09:02Z http://hdl.handle.net/1773/4609 en_US eng http://hdl.handle.net/1773/4609 Chlorophyll -- North Pacific Ocean -- Measurement Carbon cycle (biogeochemistry) Oceanography-remote sensing Other 2009 ftunivwashington 2024-05-06T11:38:24Z Senior Thesis written for Oceanography 444 This study compared satellite and ship-based measurements of net primary productivity in the Northeast Pacific Ocean. In general, chlorophyll observations showed the greatest variance between the two sets of observations. Measuring NPP is of critical importance to determining how much carbon dioxide may be sequestered in the deep ocean, thus ameliorating the negative effects of climate change. National Science Foundation Other/Unknown Material Subarctic University of Washington, Seattle: ResearchWorks Pacific |
institution |
Open Polar |
collection |
University of Washington, Seattle: ResearchWorks |
op_collection_id |
ftunivwashington |
language |
English |
topic |
Chlorophyll -- North Pacific Ocean -- Measurement Carbon cycle (biogeochemistry) Oceanography-remote sensing |
spellingShingle |
Chlorophyll -- North Pacific Ocean -- Measurement Carbon cycle (biogeochemistry) Oceanography-remote sensing Voss, Britta Spatial variation in satellite-based estimates of primary productivity across the Northeast Pacific subarctic-subtropical front |
topic_facet |
Chlorophyll -- North Pacific Ocean -- Measurement Carbon cycle (biogeochemistry) Oceanography-remote sensing |
description |
Senior Thesis written for Oceanography 444 This study compared satellite and ship-based measurements of net primary productivity in the Northeast Pacific Ocean. In general, chlorophyll observations showed the greatest variance between the two sets of observations. Measuring NPP is of critical importance to determining how much carbon dioxide may be sequestered in the deep ocean, thus ameliorating the negative effects of climate change. National Science Foundation |
format |
Other/Unknown Material |
author |
Voss, Britta |
author_facet |
Voss, Britta |
author_sort |
Voss, Britta |
title |
Spatial variation in satellite-based estimates of primary productivity across the Northeast Pacific subarctic-subtropical front |
title_short |
Spatial variation in satellite-based estimates of primary productivity across the Northeast Pacific subarctic-subtropical front |
title_full |
Spatial variation in satellite-based estimates of primary productivity across the Northeast Pacific subarctic-subtropical front |
title_fullStr |
Spatial variation in satellite-based estimates of primary productivity across the Northeast Pacific subarctic-subtropical front |
title_full_unstemmed |
Spatial variation in satellite-based estimates of primary productivity across the Northeast Pacific subarctic-subtropical front |
title_sort |
spatial variation in satellite-based estimates of primary productivity across the northeast pacific subarctic-subtropical front |
publishDate |
2009 |
url |
http://hdl.handle.net/1773/4609 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Subarctic |
genre_facet |
Subarctic |
op_relation |
http://hdl.handle.net/1773/4609 |
_version_ |
1800739055792553984 |